Data Cleansing Services & Solutions

Data Preparation is the process of collecting, cleaning, and transforming data and creating a workflow. Data cleaning is also data scrubbing to detect & remove the missing values, special values, errors, and outliers and inconsistencies from data in order to improve the quality of data. Data Consistency have three types – In Record Consistency, Cross-Record Consistency, Cross-Dataset Consistency.

Data Wrangling or Data Munging

Data Munging or Data Wrangling is cleaning and transforming the data and pre-processing of data before the process of Data Mining. It involves Enriching the Data, Standardization, Normalization, Applying Macro, Finding Patterns, Sort, Filter, Merge, Transpose and Parse the data.

Data Analytics - Models & Algorithms

An algorithm (Machine learning) is a set of heuristics and mathematical calculations that develops a Model based on Data Content. To Develop a Model, an algorithm first analyze the data and generates patterns or trends. Later Algorithm Optimizes the model by Analysis of Data.

Use Cases For Data Visualization

Get in Touch with us for Proof of Concept, Consulting & Building Data Products & Artificial Intelligence Products. Talk to our Data Scientist for Assessment and Consulting for your Industry/Solution/Products.